Transformer winding turn-to-turn short circuit fault diagnosis method based on resonance signal
By analyzing the resonant signal of the transformer winding, calculating the relevant factors and transformation coefficients, and judging the inter-turn short-circuit fault, the problems of slow response speed and inaccurate positioning of the traditional detection methods are solved, and accurate online identification of transformer winding faults and fault area positioning are achieved.
Patent Information
- Application Number
- CN202411953434.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-27
- Publication Date
- 2025-03-28
AI Technical Summary
The traditional transformer winding fault detection method has slow response speed and inaccurate fault positioning, making it difficult to meet the requirements of modern power systems for real-time monitoring and fast response.
By obtaining the resonant signal of the transformer winding, calculating the polar coordinate factor and the differential function transformation coefficient, converting the signal into a perspective view, calculating the inter-turn short-circuit fault identification factor, determining whether an inter-turn short-circuit fault has occurred, and determining the fault area.
It realizes accurate online identification of short-circuit faults and fault areas between turns of transformer windings, improves the sensitivity and accuracy of fault detection, and supports the reliable operation of the power system.
Smart Images
Figure CN119716657A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of transformer winding fault diagnosis, and in particular to a transformer winding turn-to-turn short circuit fault diagnosis method based on a resonance signal. Background Art
[0002] In the power system, the transformer is a key equipment responsible for the transmission and conversion of electric energy, and its reliability directly affects the safety and stability of the power system. The winding design of the transformer is complex and prone to various faults, among which the turn-to-turn short circuit fault is particularly serious. This fault may cause local overheating, insulation damage, and even cause a larger-scale power outage.
[0003] Traditional fault detection methods mainly rely on regular offline detection and empirical judgment, facing problems such as slow response speed and inaccurate fault location, and it is difficult to meet the requirements of modern power systems for real-time monitoring and rapid response. Therefore, it is particularly important to develop an efficient and reliable online diagnosis technology. Summary of the invention
[0004] The main purpose of the present invention is to provide a transformer winding inter-turn short-circuit fault diagnosis method based on a resonance signal, which can accurately identify the transformer winding inter-turn short-circuit fault and the fault area online.
[0005] To achieve the above-mentioned object, the present application provides, in a first aspect, a transformer winding turn-to-turn short circuit fault diagnosis method based on a resonance signal, the method comprising:
[0006] Obtaining transformer winding resonance signal;
[0007] Calculating and obtaining the polar coordinate factor of the transformer winding resonance signal;
[0008] According to the polar coordinate factor, the transformer winding resonance signal is converted into a perspective diagram, and a transformer winding resonance signal differential function transformation coefficient is calculated;
[0009] According to the polar coordinate factor and the transformer winding resonant signal differential function transformation coefficient, a transformer winding turn-to-turn short circuit fault identification factor is calculated;
[0010] According to the transformer winding inter-turn short-circuit fault identification factor, determining whether a transformer winding inter-turn short-circuit fault occurs;
[0011] If it is determined that the transformer winding has a turn-to-turn short circuit fault, a transformer winding turn-to-turn short circuit fault area identification factor is calculated, and the area where the transformer winding turn-to-turn short circuit fault occurs is determined based on the transformer winding turn-to-turn short circuit fault area identification factor.
[0012] Optionally, obtaining a transformer winding resonance signal includes:
[0013] Build an online diagnosis test platform for transformer winding inter-turn short-circuit faults;
[0014] Conducting a test based on the transformer winding inter-turn short-circuit fault online diagnosis test platform to obtain the transformer winding resonance signal;
[0015] The transformer winding inter-turn short-circuit fault online diagnosis test platform comprises: a host computer, a digital signal generator, a capacitive voltage transformer, a high-voltage bushing, an output bushing, a data acquisition device, a transformer box, an iron core, a low-voltage winding, a high-voltage winding, an AC power supply, a first grounding device, a second grounding device, a third grounding device, a first resistor, a second resistor, a first inductor, and a second inductor;
[0016] The host computer is connected to the digital signal generator, the digital signal generator is connected to the capacitive voltage transformer, the capacitive voltage transformer is connected to the high-voltage bushing, and the high-voltage bushing is connected to the first resistor, the first inductor, the AC power supply and the first grounding device;
[0017] The output sleeve is connected to the data acquisition device, the data acquisition device is connected to the host computer, and the output sleeve is connected to the second resistor, the second inductor and the second grounding device;
[0018] The iron core, the low voltage winding and the high voltage winding are all placed in the transformer box, and the transformer box is connected to the third grounding device;
[0019] The first resistor, the first inductor, the AC power supply, the second resistor and the second inductor are used to simulate the online operation of the transformer.
[0020] Optionally, the step of performing a test based on the transformer winding inter-turn short-circuit fault online diagnosis test platform to obtain the transformer winding resonance signal includes:
[0021] Sending a test high-frequency voltage signal to the digital signal generator through the host computer, and the digital signal generator injects the test high-frequency voltage signal into the high-voltage bushing through the capacitive voltage transformer;
[0022] The data acquisition device collects the response resonance voltage signal of the output bushing and transmits the data to the host computer;
[0023] Select the response resonant voltage signal of the preset preceding time period, remove the noise through the host computer to obtain the transformer winding resonant signal, including the time series t i =[t1 t2…t N], normal transformer winding resonance signal E(t)=[e1e2…e N ] and the test transformer winding resonance signal R(t)=[r1 r2…r N ], where e N 、r N Represents the amplitude of the Nth data point, where N is the total number of sampling points.
[0024] Optionally, the calculating and obtaining the polar coordinate factor of the transformer winding resonance signal includes:
[0025] The polar coordinate factor of the transformer winding resonance signal is calculated according to the following formula:
[0026]
[0027] Among them, r i is the value of the test transformer winding resonance signal R(t), e i is the value of the normal transformer winding resonance signal E(t).
[0028] Optionally, converting the transformer winding resonance signal into a perspective diagram according to the polar coordinate factor, and calculating a transformer winding resonance signal differential function transformation coefficient includes:
[0029] The transformer winding resonant signal differential function conversion coefficient is calculated using the following formula:
[0030]
[0031] Among them, J i (i=1...N) is the polar coordinate factor J of the transformer winding resonance signal, and N is the total number of sampling points.
[0032] Optionally, the step of calculating the transformer winding inter-turn short circuit fault identification factor according to the polar coordinate factor and the transformer winding resonant signal differential function transformation coefficient includes:
[0033] The transformer winding turn-to-turn short-circuit fault identification factor is calculated according to the following formula:
[0034]
[0035] Among them, J i , J j is the polar coordinate factor of the transformer winding resonance signal, N is the total number of sampling points, C oc is the equivalent capacitance value of the capacitive voltage transformer, L ol is the equivalent inductance of the transformer winding.
[0036] Optionally, judging whether a turn-to-turn short circuit fault occurs in a transformer winding according to the transformer winding turn-to-turn short circuit fault identification factor includes:
[0037] When η ss <K jz When the transformer winding has no inter-turn short circuit fault, it is determined that the transformer winding has no inter-turn short circuit fault;
[0038] When η ss ≥K jz When , it is determined that a turn-to-turn short circuit fault has occurred in the transformer winding; wherein, K jz It is a constant related to the transformer model.
[0039] Optionally, the calculating of the transformer winding turn-to-turn short-circuit fault area identification factor includes:
[0040] The transformer winding turn-to-turn short-circuit fault area identification factor is calculated according to the following formula:
[0041]
[0042] The step of determining the region where the transformer winding turn-to-turn short circuit fault occurs according to the transformer winding turn-to-turn short circuit fault region identification factor comprises:
[0043] When ε cd <K bk When , it is determined that a turn-to-turn short circuit fault occurs in the upper region of the transformer winding;
[0044] When K bk <ε cd ≤K ck When the transformer winding has a short-circuit fault, it is determined that a turn-to-turn short-circuit fault occurs in the middle region of the transformer winding;
[0045] When ε cd >K ck When , it is determined that a turn-to-turn short circuit fault occurs in the lower region of the transformer winding, wherein K bk , K ck It is a constant related to the transformer model.
[0046] A second aspect of the present application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the first aspect and any possible implementation thereof.
[0047] A third aspect of the present application provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the processor executes each step of the method described in the first aspect.
[0048] The present application provides a transformer winding inter-turn short-circuit fault diagnosis method based on a resonance signal, which is performed by acquiring a transformer winding resonance signal; calculating and obtaining a polar coordinate factor of the transformer winding resonance signal; according to the polar coordinate factor, converting the transformer winding resonance signal into a perspective diagram, and calculating and obtaining a transformer winding resonance signal differential function transformation coefficient; according to the polar coordinate factor and the transformer winding resonance signal differential function transformation coefficient, calculating and obtaining a transformer winding inter-turn short-circuit fault identification factor; according to the transformer winding inter-turn short-circuit fault identification factor, determining whether a transformer winding inter-turn short-circuit fault occurs; if it is determined that a transformer winding inter-turn short-circuit fault occurs, calculating a transformer winding inter-turn short-circuit fault area identification factor, and according to the transformer winding inter-turn short-circuit fault area identification factor, determining a region where a transformer winding inter-turn short-circuit fault occurs, and being able to accurately identify the transformer winding inter-turn short-circuit fault and the fault area. BRIEF DESCRIPTION OF THE DRAWINGS
[0049] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0050] in:
[0051] Figure 1 A schematic flow chart of a transformer winding turn-to-turn short circuit fault diagnosis method based on a resonance signal provided in an embodiment of the present application;
[0052] Figure 2 A schematic diagram of the structure of an online diagnosis test platform for transformer winding turn-to-turn short-circuit faults provided in an embodiment of the present application;
[0053] Figure 3 A schematic flow chart of another transformer winding turn-to-turn short circuit fault diagnosis method based on a resonance signal provided in an embodiment of the present application;
[0054] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0055] In order to enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.
[0056] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.
[0057] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.
[0058] The method in the embodiment of the present application mainly lies in that an online diagnosis test platform for transformer winding inter-turn short-circuit fault based on a resonant signal can be built, the transformer winding resonant signal is measured and obtained, and then the polar coordinate factor and the differential function transformation coefficient of the transformer winding resonant signal are calculated, and the resonant signal is converted into a perspective diagram, and finally the inter-turn short-circuit fault is judged by calculating the transformer winding inter-turn short-circuit fault identification factor, and the transformer winding inter-turn short-circuit fault area is judged by calculating the transformer winding inter-turn short-circuit fault area identification factor.
[0059] The embodiments of the present application are described below in conjunction with the drawings in the embodiments of the present application.
[0060] See also Figure 1 , is a flow chart of a transformer winding turn-to-turn short circuit fault diagnosis method based on a resonance signal provided in an embodiment of the present application, such as Figure 1 As shown, the method includes:
[0061] 101. Obtain a transformer winding resonance signal.
[0062] In the embodiment of the present application, the transformer winding resonance signal can be obtained by building an online diagnostic test platform.
[0063] In an optional implementation, step 101 includes:
[0064] Build an online diagnosis test platform for transformer winding inter-turn short-circuit faults;
[0065] An experiment is conducted based on the above-mentioned transformer winding inter-turn short-circuit fault online diagnosis test platform to obtain the above-mentioned transformer winding resonance signal.
[0066] Figure 2 The structure diagram of an online diagnosis test platform for transformer winding turn-to-turn short-circuit fault provided in the embodiment of the present application is shown in FIG. Figure 2 As shown, the transformer winding turn-to-turn short-circuit fault online diagnosis test platform includes:
[0067] Host computer (1), digital signal generator (2), capacitive voltage transformer A (3), high voltage bushing (4), output bushing (5), data acquisition device (6), transformer box (7), iron core (8), low voltage winding (9), high voltage winding (10), AC power supply (11), grounding device 1 (101), grounding device 2 (102), grounding device 3 (103), resistor A (201), resistor B (202), inductor A (301), inductor B (302);
[0068] The host computer (1) is connected to the digital signal generator (2), the digital signal generator (2) is connected to the capacitive voltage transformer A (3), the capacitive voltage transformer A (3) is connected to the high-voltage bushing (4), and the high-voltage bushing (4) is connected to the resistor A (201), the inductor A (301), the AC power supply (11) and the grounding device 1 (101);
[0069] The output sleeve (5) is connected to the data acquisition device (6), the data acquisition device (6) is connected to the host computer (1), and the output sleeve (5) is connected to the resistor B (202), the inductor B (302) and the grounding device 2 (102);
[0070] The iron core (8), the low voltage winding (9) and the high voltage winding (10) are all placed in a transformer box (7), and the transformer box (7) is connected to a grounding device 3 (103);
[0071] Resistor A (201), inductor A (301), AC power source (11), resistor B (202) and inductor B (302) are used to simulate the online operation of the transformer.
[0072] Further optionally, based on Figure 2 The test platform shown can measure the transformer winding resonance signal. The specific steps may include:
[0073] The host computer (1) sends a test high-frequency voltage setting signal to the digital signal generator (2), the digital signal generator (2) injects the test high-frequency voltage signal into the high-voltage bushing (4) through the capacitive voltage transformer A (3), collects the response resonant voltage signal of the output bushing (5) through the data acquisition device (6), and transmits the data to the host computer (1);
[0074] Select the response signal waveform of a preset preceding time period (for example, the first 0.1 second), remove the noise through the host computer (1) to obtain the resonance signal of the transformer winding; obtain the time series t through the test platform i =[t1 t2…t N ], normal transformer winding resonance signal E(t)=[e1 e2…e N ] and the test transformer winding resonance signal R(t)=[r1 r2…r N ], where e N 、r N Represents the amplitude of the Nth data point, where N is the total number of sampling points.
[0075] 102. Calculate and obtain the polar coordinate factor of the transformer winding resonance signal.
[0076] After obtaining the transformer winding resonance signal, the polar coordinate factor can be calculated.
[0077] In the analysis of transformer winding resonance signals, polar coordinate factors usually involve the phase and amplitude of the signal. Polar coordinate factors can help us better understand and analyze the time-frequency characteristics of the signal.
[0078] In one implementation, the polar coordinate factor J of the transformer winding resonance signal can be calculated according to the following formula:
[0079]
[0080] Among them, r i is the value of the test transformer winding resonance signal R(t), e i is the value of the normal transformer winding resonance signal E(t).
[0081] 103. According to the polar coordinate factors, the transformer winding resonance signal is converted into a perspective diagram, and a transformer winding resonance signal differential function transformation coefficient is calculated.
[0082] After the above polar coordinate factors are obtained by calculation, the transformer winding resonant signal differential function transformation coefficients can be calculated.
[0083] The perspective diagram mentioned in the embodiment of the present application is a method of graphically displaying the frequency domain characteristics of a signal. In practical applications, the perspective diagram can be constructed by calculating the differential function transformation coefficients of the resonant signal and then using these coefficients. Each point on the perspective diagram corresponds to a frequency component of the signal, and its height represents the amplitude of the frequency component, so that you can intuitively see which frequency components in the signal are the main ones and how they change over time.
[0084] In one embodiment, the transformer winding resonant signal differential function conversion coefficient D can be calculated using the following formula: bh :
[0085]
[0086] Among them, J i (i=1...N) is the polar coordinate factor J of the transformer winding resonance signal, and N is the total number of sampling points.
[0087] 104. According to the polar coordinate factor and the transformer winding resonant signal differential function transformation coefficient, a transformer winding turn-to-turn short circuit fault identification factor is calculated.
[0088] After the polar coordinate factors and the transformer winding resonant signal differential function transformation coefficients are obtained by calculation, the transformer winding inter-turn short-circuit fault identification factor can be calculated.
[0089] In the embodiment of the present application, the transformer winding turn-to-turn short-circuit fault identification factor η can be calculated according to the following formula ss :
[0090]
[0091] Among them, J i , J j is the polar coordinate factor of the transformer winding resonance signal, N is the total number of sampling points, C oc is the equivalent capacitance value of the above capacitive voltage transformer, L ol is the equivalent inductance of the transformer winding.
[0092] 105. According to the above transformer winding turn-to-turn short-circuit fault identification factor, determine whether the transformer winding has a turn-to-turn short-circuit fault.
[0093] In the embodiment of the present application, it can be determined whether a turn-to-turn short circuit fault occurs in the transformer winding according to the calculated transformer winding turn-to-turn short circuit fault identification factor.
[0094] Specifically, when η ss <K jz When η ss≥K jz When , it can be judged that a turn-to-turn short circuit fault has occurred in the transformer winding; where K jz It is a constant related to the transformer model and can be adjusted as needed.
[0095] 106. If it is determined that the transformer winding has a turn-to-turn short-circuit fault, calculate a transformer winding turn-to-turn short-circuit fault area identification factor, and determine an area where the transformer winding has a turn-to-turn short-circuit fault based on the transformer winding turn-to-turn short-circuit fault area identification factor.
[0096] After determining that a turn-to-turn short circuit fault occurs in the transformer winding, the fault area can be further determined.
[0097] Specifically, the transformer winding turn-to-turn short-circuit fault area identification factor can be further calculated for judgment.
[0098] In the embodiment of the present application, the transformer winding turn-to-turn short-circuit fault area identification factor ε can be calculated according to the following formula cd :
[0099]
[0100] The above-mentioned determination of the region where the transformer winding turn-to-turn short-circuit fault occurs according to the above-mentioned transformer winding turn-to-turn short-circuit fault region identification factor includes:
[0101] When ε cd <K bk When , it is determined that a turn-to-turn short circuit fault occurs in the upper region of the transformer winding;
[0102] When K bk <ε cd ≤K ck When , it is determined that a turn-to-turn short circuit fault occurs in the middle area of the transformer winding;
[0103] When ε cd >K ck When , it is determined that a turn-to-turn short circuit fault occurs in the lower region of the transformer winding, where K bk , K ck It is a constant related to the transformer model.
[0104] In the embodiment of the present application, a method for online diagnosis of transformer winding inter-turn short-circuit fault based on resonant signal is provided, which can accurately identify whether an inter-turn short-circuit fault occurs in the online transformer winding and the inter-turn short-circuit fault area. This method not only improves the sensitivity and accuracy of fault detection, but also provides important technical support for the reliable operation of the power system. It is of great significance to promote the development and application of transformer status diagnosis technology in smart grids.
[0105] To more clearly illustrate the method in the embodiments of the present application, please refer to Figure 3 , Figure 3 A schematic diagram of another method for diagnosing a transformer winding inter-turn short circuit fault based on a resonance signal provided in an embodiment of the present application. Figure 3 As shown, the method mainly includes:
[0106] Build an online diagnosis test platform for transformer winding inter-turn short-circuit fault based on resonance signal;
[0107] The digital signal generator generates a high-frequency voltage signal, which is injected into the transformer winding through a capacitive voltage transformer to obtain a transformer winding resonance signal;
[0108] Calculate the polar coordinate factors of the transformer winding resonant signal;
[0109] Calculate the differential function transformation coefficient of the transformer winding resonance signal and convert the resonance signal into a perspective diagram;
[0110] Calculate the transformer winding turn-to-turn short-circuit fault identification factor and identify the turn-to-turn short-circuit fault;
[0111] Calculate the transformer winding turn-to-turn short-circuit fault area identification factor and identify the turn-to-turn short-circuit fault area.
[0112] The specific steps involved in the above process can be found in Figure 1 The description in the embodiment shown in the figure can refer to the above test platform architecture. Figure 2 The description in the illustrated embodiment will not be repeated here.
[0113] The method in the embodiment of the present application is based on the constructed test platform. First, a high-frequency voltage signal is generated by a digital signal generator, and the high-frequency voltage signal is injected into the transformer winding through a capacitive voltage transformer to measure the transformer winding resonant signal; then the polar coordinate factor of the transformer winding resonant signal and the differential function transformation coefficient are calculated to convert the resonant signal into a perspective diagram; finally, the transformer winding inter-turn short-circuit fault identification factor is calculated to judge the inter-turn short-circuit fault, and the transformer winding inter-turn short-circuit fault area is judged by calculating the transformer winding inter-turn short-circuit fault area identification factor, so that the transformer winding inter-turn short-circuit fault and the fault area can be accurately identified.
[0114] Based on the description of the above method embodiment, in one embodiment of the present application, an electronic device is also provided. Figure 4 , Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 4As shown, the electronic device 400 includes a processor 401 and a memory 402, wherein the memory 402 stores a computer program. When the computer program is executed by the processor 401, the following operations are performed: Figure 1 or Figure 3 Any step in the method embodiment shown. The electronic device 400 may also include an input / output device, etc. In a specific implementation, the electronic device may be a terminal device, etc.
[0115] In one embodiment, a computer-readable storage medium is further provided. The computer-readable storage medium stores a computer program. When the computer program is executed by the processor 401, the processor 401 executes any step in the above method embodiment.
[0116] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
[0117] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0118] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.
Claims
1. A transformer winding turn-to-turn short-circuit fault diagnosis method based on resonance signal, characterized in that: The method comprises: Obtaining transformer winding resonance signal; Calculating and obtaining the polar coordinate factor of the transformer winding resonance signal; According to the polar coordinate factor, the transformer winding resonance signal is converted into a perspective diagram, and a transformer winding resonance signal differential function transformation coefficient is calculated; According to the polar coordinate factor and the transformer winding resonant signal differential function transformation coefficient, a transformer winding turn-to-turn short circuit fault identification factor is calculated; According to the transformer winding inter-turn short-circuit fault identification factor, determining whether a transformer winding inter-turn short-circuit fault occurs; If it is determined that the transformer winding has a turn-to-turn short circuit fault, a transformer winding turn-to-turn short circuit fault area identification factor is calculated, and the area where the transformer winding turn-to-turn short circuit fault occurs is determined based on the transformer winding turn-to-turn short circuit fault area identification factor.
2. The transformer winding turn-to-turn short circuit fault diagnosis method based on resonance signal according to claim 1 is characterized in that: The step of obtaining a transformer winding resonance signal comprises: Build an online diagnosis test platform for transformer winding inter-turn short-circuit faults; Conducting a test based on the transformer winding inter-turn short-circuit fault online diagnosis test platform to obtain the transformer winding resonance signal; The transformer winding inter-turn short-circuit fault online diagnosis test platform comprises: a host computer, a digital signal generator, a capacitive voltage transformer, a high-voltage bushing, an output bushing, a data acquisition device, a transformer box, an iron core, a low-voltage winding, a high-voltage winding, an AC power supply, a first grounding device, a second grounding device, a third grounding device, a first resistor, a second resistor, a first inductor, and a second inductor; The host computer is connected to the digital signal generator, the digital signal generator is connected to the capacitive voltage transformer, the capacitive voltage transformer is connected to the high-voltage bushing, and the high-voltage bushing is connected to the first resistor, the first inductor, the AC power supply and the first grounding device; The output sleeve is connected to the data acquisition device, the data acquisition device is connected to the host computer, and the output sleeve is connected to the second resistor, the second inductor and the second grounding device; The iron core, the low voltage winding and the high voltage winding are all placed in the transformer box, and the transformer box is connected to the third grounding device; The first resistor, the first inductor, the AC power supply, the second resistor and the second inductor are used to simulate the online operation of the transformer.
3. The transformer winding turn-to-turn short-circuit fault diagnosis method based on resonance signal according to claim 2 is characterized in that: The test is performed based on the transformer winding inter-turn short-circuit fault online diagnosis test platform to obtain the transformer winding resonance signal, including: Sending a test high-frequency voltage signal to the digital signal generator through the host computer, and the digital signal generator injects the test high-frequency voltage signal into the high-voltage bushing through the capacitive voltage transformer; The data acquisition device collects the response resonance voltage signal of the output bushing and transmits the data to the host computer; Select the response resonant voltage signal of the preset preceding time period, remove the noise through the host computer to obtain the transformer winding resonant signal, including the time series t i =[t1 t2…t N ], normal transformer winding resonance signal E(t)=[e1 e2…e N ] and the test transformer winding resonance signal R(t)=[r1 r2…r N ], where e N 、r N Represents the amplitude of the Nth data point, where N is the total number of sampling points.
4. The transformer winding turn-to-turn short-circuit fault diagnosis method based on resonance signal according to claim 3 is characterized in that: The step of calculating and obtaining the polar coordinate factor of the transformer winding resonance signal includes: The polar coordinate factor of the transformer winding resonance signal is calculated according to the following formula: Among them, r i is the value of the test transformer winding resonance signal R(t), e i is the value of the normal transformer winding resonance signal E(t).
5. The transformer winding turn-to-turn short-circuit fault diagnosis method based on resonance signal according to claim 4 is characterized in that: The step of converting the transformer winding resonance signal into a perspective diagram according to the polar coordinate factor and calculating a transformer winding resonance signal differential function transformation coefficient comprises: The transformer winding resonant signal differential function conversion coefficient is calculated using the following formula: Among them, J i (i=1...N) is the polar coordinate factor J of the transformer winding resonance signal, and N is the total number of sampling points.
6. The transformer winding turn-to-turn short circuit fault diagnosis method based on resonance signal according to claim 5, characterized in that: The step of calculating and obtaining the transformer winding inter-turn short circuit fault identification factor according to the polar coordinate factor and the transformer winding resonant signal differential function transformation coefficient comprises: The transformer winding turn-to-turn short-circuit fault identification factor is calculated according to the following formula: Among them, J i , J j is the polar coordinate factor of the transformer winding resonance signal, N is the total number of sampling points, C oc is the equivalent capacitance value of the capacitive voltage transformer, L ol is the equivalent inductance of the transformer winding.
7. The transformer winding turn-to-turn short-circuit fault diagnosis method based on resonance signal according to claim 6, characterized in that: The step of judging whether a transformer winding has a turn-to-turn short circuit fault according to the transformer winding turn-to-turn short circuit fault identification factor comprises: When η ss <K jz When the transformer winding has no inter-turn short circuit fault, it is determined that the transformer winding has no inter-turn short circuit fault; When η ss ≥K jz When , it is determined that a turn-to-turn short circuit fault has occurred in the transformer winding; wherein, K jz It is a constant related to the transformer model.
8. The transformer winding turn-to-turn short-circuit fault diagnosis method based on resonance signal according to claim 7, characterized in that: The method of calculating the transformer winding inter-turn short-circuit fault area identification factor comprises: The transformer winding turn-to-turn short-circuit fault area identification factor is calculated according to the following formula: The step of determining the region where the transformer winding turn-to-turn short circuit fault occurs according to the transformer winding turn-to-turn short circuit fault region identification factor comprises: When ε cd <K bk When , it is determined that a turn-to-turn short circuit fault occurs in the upper region of the transformer winding; When K bk <ε cd ≤K ck When the transformer winding has a short-circuit fault, it is determined that a turn-to-turn short-circuit fault occurs in the middle region of the transformer winding; When ε cd >K ck When , it is determined that a turn-to-turn short circuit fault occurs in the lower region of the transformer winding, wherein K bk , K ck It is a constant related to the transformer model.
9. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method according to any one of claims 1 to 8.
10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the processor is caused to perform the steps of the method according to any one of claims 1 to 8.